Computational & Technology Resources
an online resource for computational,
engineering & technology publications
Computational Science, Engineering & Technology Series
ISSN 1759-3158
Edited by: J. Kruis, Y. Tsompanakis and B.H.V. Topping
Chapter 8

Incorporating Uncertainty in Vibration-Based Monitoring and Simulation

E.N. Chatzi and M.D. Spiridonakos

Department of Civil, Environmental and Geomatic Engineering, Institute of Structural Engineering, ETH Zürich, Switzerland

Full Bibliographic Reference for this chapter
E.N. Chatzi, M.D. Spiridonakos, "Incorporating Uncertainty in Vibration-Based Monitoring and Simulation", in J. Kruis, Y. Tsompanakis and B.H.V. Topping, (Editors), "Computational Techniques for Civil and Structural Engineering", Saxe-Coburg Publications, Stirlingshire, UK, Chapter 8, pp 175-198, 2015. doi:10.4203/csets.38.8
Keywords: nonlinear dynamics, earthquake excitation, environmental conditions, condition assessment, damage detection, reduced order metamodels, nonlinear arx models, polynomial chaos expansion, system identification, uncertainty quantification.

The field of structural dynamics is inherently related to the modeling and identification of structural systems under varying loads, which are often impossible to quantify or measure. The task of correctly monitoring the characteristics of such vibrating systems is not a straightforward one due to complexities associated with a) the inefficiency of existing models to account for actual physical phenomena (modeling errors); b) potential nonlinear behavior, as well as lack of a priori knowledge on the loading agents and the properties of the system itself (system uncertainty/complexity); c) limited or incomplete sensory information; d) operation under varying loads and environmental conditions, which inevitably affect structural condition and response.

This paper overviews the state-of-the-art in appropriate modeling methodologies, usually relying on the use of stochastic processes, soft computing approaches and surrogate models, for efficiently simulating and tracking the behavior of large-scale systems under the influence of varying environmental or loading conditions, and uncertainties stemming from the properties of the structure itself and the sensing capabilities/limitations.

purchase the full-text of this chapter (price £20)

go to the previous chapter
go to the next chapter
return to the table of contents
return to the book description
purchase this book (price £95 +P&P)